Spark Structured streaming enriched from Cassandra
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0
I stream data from Kafka with structured streaming
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("enable.auto.commit", false)
.option("auto.offset.reset", "earliest")
.option("group.id", UUID.randomUUID().toString)
.option("subscribe", "test")
.load()
and then try to join it with a Cassandra table
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start
.awaitTermination()
but i get, when i try to convert data frame to rdd, any ideas why?
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
kafka
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:297)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:36)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:34)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
apache-spark cassandra
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
add a comment |
0
I stream data from Kafka with structured streaming
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("enable.auto.commit", false)
.option("auto.offset.reset", "earliest")
.option("group.id", UUID.randomUUID().toString)
.option("subscribe", "test")
.load()
and then try to join it with a Cassandra table
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start
.awaitTermination()
but i get, when i try to convert data frame to rdd, any ideas why?
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
kafka
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:297)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:36)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:34)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
apache-spark cassandra
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
add a comment |
0
0
0
I stream data from Kafka with structured streaming
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("enable.auto.commit", false)
.option("auto.offset.reset", "earliest")
.option("group.id", UUID.randomUUID().toString)
.option("subscribe", "test")
.load()
and then try to join it with a Cassandra table
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start
.awaitTermination()
but i get, when i try to convert data frame to rdd, any ideas why?
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
kafka
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:297)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:36)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:34)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
apache-spark cassandra
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
I stream data from Kafka with structured streaming
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("enable.auto.commit", false)
.option("auto.offset.reset", "earliest")
.option("group.id", UUID.randomUUID().toString)
.option("subscribe", "test")
.load()
and then try to join it with a Cassandra table
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start
.awaitTermination()
but i get, when i try to convert data frame to rdd, any ideas why?
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
kafka
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:297)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:36)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:34)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
apache-spark cassandra
apache-spark cassandra
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
asked Nov 16 '18 at 15:46
DmitryDmitry
1328
1328
add a comment |
add a comment |
1 Answer
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As the error message says, start need to be invoked with parenthesis as below:
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start()
.awaitTermination()
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
add a comment |
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1 Answer
1
active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
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votes
0
As the error message says, start need to be invoked with parenthesis as below:
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start()
.awaitTermination()
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
add a comment |
0
As the error message says, start need to be invoked with parenthesis as below:
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start()
.awaitTermination()
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
add a comment |
0
0
0
As the error message says, start need to be invoked with parenthesis as below:
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start()
.awaitTermination()
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
As the error message says, start need to be invoked with parenthesis as below:
val d = df.select(from_json(col("value").cast("string"), schema).cast("string").alias("url"))
.rdd.joinWithCassandraTable[(String, String, String)]("analytics", "nlp2", SomeColumns("url", "ner", "sentiment"), SomeColumns("url"))
.toDS()
.writeStream
.format("console") // <-- use ConsoleSink
.option("truncate", false)
.option("numRows", 10)
.trigger(Trigger.ProcessingTime(5 seconds))
.queryName("rate-console")
.start()
.awaitTermination()
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
answered Nov 17 '18 at 9:35
Lakshman BattiniLakshman Battini
1,169316
1,169316
add a comment |
add a comment |
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